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6212 Publications
2022 | Mastersthesis | LibreCat-ID: 34963
Anonymous, A. (2022). Cost of Privacy-preserving SMPC Protocols for NN-Based Inference.
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2022 | Bachelorsthesis | LibreCat-ID: 35772
Lohse, J. (2022). Lattice Revocation Mechanisms.
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2022 | Report | LibreCat-ID: 36227
Hammer, B., Hüllermeier, E., Lohweg, V., Schneider, A., Schenck, W., Kuhl, U., Braun, M., Pfeifer, A., Holst, C.-A., Schmidt, M., Schomaker, G., & Tornede, T. (2022). Schlussbericht ITS.ML: Intelligente Technische Systeme der nächsten Generation durch Maschinelles Lernen. Forschungsvorhaben zur automatisierten Analyse von Daten mittels Maschinellen Lernens. https://doi.org/10.4119/unibi/2965622
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| DOI
2022 | Conference Paper | LibreCat-ID: 27531 | 
Gharibian, S., & Gall, F. L. (2022). Dequantizing the Quantum Singular Value Transformation: Hardness and Applications to Quantum Chemistry and the Quantum PCP Conjecture. Proceedings of the 54th ACM Symposium on Theory of Computing (STOC), 19–32.
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| arXiv
2022 | Book Chapter | LibreCat-ID: 46300
Niemann, M., Assenmacher, D., Brunk, J., Riehle, D. M., Becker, J., & Trautmann, H. (2022). (Semi-)Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse. In G. Weitzel & S. Mündges (Eds.), Hate Speech — Definitionen, Ausprägungen, Lösungen (pp. 249–274). VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-658-35658-3_13
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| DOI
2022 | Conference Paper | LibreCat-ID: 46301
Assenmacher, D., & Trautmann, H. (2022). Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption. In T. et al. Tran (Ed.), Intelligent Information and Database Systems (pp. 3–16). Springer International Publishing. https://doi.org/10.1007/978-3-031-21743-2_1
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| DOI
2022 | Journal Article | LibreCat-ID: 46316
Assenmacher, D., Weber, D., Preuss, M., Valdez, A. C., Bradshaw, A., Ross, B., Cresci, S., Trautmann, H., Neumann, F., & Grimme, C. (2022). Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem. Social Science Computer Review, 40(6), 1496–1522. https://doi.org/10.1177/08944393211012268
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| DOI
2022 | Conference Paper | LibreCat-ID: 33957
Deppe, S., Brandt, L., Brünninghaus, M., Papenkordt, J., Heindorf, S., & Tschirner-Vinke, G. (2022). AI-Based Assistance System for Manufacturing. ETFA, Stuttgart. https://doi.org/10.1109/ETFA52439.2022.9921520
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| DOI
2022 | Conference Paper | LibreCat-ID: 46306
Schneider, L., Schäpermeier, L., Prager, R. P., Bischl, B., Trautmann, H., & Kerschke, P. (2022). HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp. 575–589). Springer International Publishing. https://doi.org/10.1007/978-3-031-14714-2_40
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| DOI
2022 | Journal Article | LibreCat-ID: 46308
Aspar, P., Steinhoff, V., Schäpermeier, L., Kerschke, P., Trautmann, H., & Grimme, C. (2022). The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. Natural Computing, 1, 1–15. https://doi.org/10.1007/s11047-022-09919-w
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| DOI
2022 | Conference Paper | LibreCat-ID: 48299
Igamberdiev, T., & Habernal, I. (2022). Privacy-Preserving Graph Convolutional Networks for Text Classification. Proceedings of the Thirteenth Language Resources and Evaluation Conference, 338–350.
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2022 | Conference Paper | LibreCat-ID: 48300
Igamberdiev, T., Arnold, T., & Habernal, I. (2022). DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. Proceedings of the 29th International Conference on Computational Linguistics, 2927–2933.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48298
Habernal, I. (2022). How reparametrization trick broke differentially-private text representation learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). https://doi.org/10.18653/v1/2022.acl-short.87
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| DOI
2022 | Book Chapter | LibreCat-ID: 49350
Brock, J., von Enzberg, S., Kühn, A., & Dumitrescu, R. (2022). Nutzung von Process Mining in RPA-Projekten. In Praxishandbuch Robotic Process Automation (RPA). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-38379-4_5
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| DOI
2022 | Conference Paper | LibreCat-ID: 33983
Scholtysik, M., Rohde, M., Koldewey, C., & Dumitrescu, R. (2022). Adapting the product design to the circular economy using R-principles.
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| Files available
2022 | Conference Paper | LibreCat-ID: 30883
Krings, S. C., Yigitbas, E., Biermeier, K., & Engels, G. (2022). Design and Evaluation of AR-Assisted End-User Robot Path Planning Strategies. Proceedings of the 14th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2022).
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2022 | Conference Paper | LibreCat-ID: 48861
Bossek, J., & Neumann, F. (2022). Exploring the Feature Space of TSP Instances Using Quality Diversity. Proceedings of the Genetic and Evolutionary Computation Conference, 186–194. https://doi.org/10.1145/3512290.3528851
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| DOI
2022 | Conference Paper | LibreCat-ID: 48868
Bossek, J., Neumann, A., & Neumann, F. (2022). Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 824–842. https://doi.org/10.1145/3520304.3533626
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| DOI
2022 | Conference Paper | LibreCat-ID: 48882
Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J., & Trautmann, H. (2022). BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII) (pp. 192–206). Springer International Publishing. https://doi.org/10.1007/978-3-031-14714-2_14
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| DOI
2022 | Conference Paper | LibreCat-ID: 48894
Nikfarjam, A., Neumann, A., Bossek, J., & Neumann, F. (2022). Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tu\v sar (Eds.), Parallel Problem Solving from Nature (PPSN XVII) (pp. 237–249). Springer International Publishing. https://doi.org/10.1007/978-3-031-14714-2_17
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